Research Article

Reducing Bias in Beta Regression Models Using Jackknifed Liu-Type Estimators: Applications to Chemical Data

Table 1

MSEs of estimators for different values of , and

BMLEBREBLEBLTEBJLTEBMJLTEBMLEBREBLEBLTEBJLTEBMJLTE

500.900.30220.33840.29230.28320.21470.11030.24780.21420.23190.19120.15430.0798
0.950.57940.61340.54680.53500.29090.11450.44360.36360.38730.28650.22820.0910
0.992.21722.87751.79311.76551.06410.28322.09011.68761.76181.28050.79170.2122
1000.900.13330.14650.11290.09690.09170.06640.11270.09830.10960.09580.08650.0517
0.950.25430.28040.21270.21060.16540.07450.21220.18650.19750.18060.13020.0587
0.991.19731.28591.09510.94600.47280.12530.99140.85480.97640.70540.40910.1144
2000.900.08930.09420.08270.07820.06460.04480.05250.05210.05240.05200.04640.0319
0.950.13060.14050.12240.10530.09940.05140.09650.08880.09370.08310.07120.0379
0.990.60090.63270.55070.51650.28010.08380.45870.38850.42710.36890.21750.0672

500.900.85850.71010.81120.67790.56020.24510.68740.61370.62880.52410.46390.2073
0.951.71041.15141.39280.92910.99040.38461.28511.02361.19670.90090.77200.3015
0.998.68897.27637.45306.71884.58501.61885.97553.89114.58023.88913.17491.1342
1000.900.39860.34770.39200.32550.30590.15690.28730.28030.28150.27420.22960.1201
0.950.73060.65850.69680.52200.48740.20200.53590.48570.51840.45630.37460.1594
0.993.53232.63662.96762.06151.86980.59252.69092.02132.21741.82161.44000.4598
2000.900.28900.24300.27480.23550.16290.10240.16050.15350.15980.13510.12390.0772
0.950.45780.41760.42040.40340.27510.13760.28460.26610.27300.25480.20380.1032
0.991.56831.15891.35261.11690.89710.29091.20891.06171.18560.82410.72360.2431

500.902.52431.69771.96201.17861.42560.95711.90091.29771.62090.89380.83310.4962
0.955.02454.28074.86924.08903.53423.20793.68542.78073.30922.46062.30681.3676
0.9924.643112.808519.72179.62119.13618.763218.475110.916716.21376.75414.12552.2051
1000.901.04690.81810.98350.62890.44070.34880.74900.63450.71840.46290.74420.6787
0.951.99741.34831.61540.92590.93490.62841.48181.07341.22750.69991.44471.2420
0.999.95715.28848.41503.76683.13802.82207.23074.75315.15463.52742.94611.6707
2000.900.49480.40950.46730.38180.39400.27190.34890.27450.30760.27990.34840.2333
0.950.92200.85660.90740.84780.61730.45050.67350.45260.56470.41050.37000.3224
0.994.39733.94704.19943.67362.89491.77203.28802.57412.86341.18371.93410.9379